Policy, plans and processes for developing and improving the use of hazard maps in climate change adaptation for Yukon communities
Notice bibliographique
Résumé
Climate change has quickly become one of the most commonly discussed topics in northern Canada. Communities located in Canada’s north are facing impacts to every aspect of life. Hazard mapping is one of the tools used to predict risk from climate change impacts and thus assist communities in adaptation planning. The Northern Climate ExChange in Yukon has developed hazard maps for seven communities across Yukon. While hazard maps are a useful tool, in order for them to reach their maximum potential, users need to be well educated and trained to use them. Capacity and communication are arguably the most significant challenge faced by northern communities when it comes to climate change adaptation.\nThe goal of this research is to connect hazard mapping research to community needs, and opportunities for adaptation and mitigation to assist with both development and adaptation to future changes to the land and ecosystems. This research is focused on case-studies of Burwash Landing & Destruction Bay and Old Crow, Yukon. These two communities were chosen because they have an existing hazard map and contrasting community characteristics, meaning the research has validity with a wider range of communities. Interviews were conducted in both communities and analyzed for common themes and responses. The interview questions were designed with the intention to stir discussions around climate change issues in the communities, general discussions around hazard maps and recommendations for governments, organizations and communities. Through interview analysis, six recommendations emerged, related to how research was conducted, communication pathways, education and government, research organization, and institutional structures.\nRecommendations for research are to incorporate GIS map layers into existing mapping programs, and refine the language used in reports and outputs to best reflect community needs. The recommendation for communication pathways is to use stories to communicate successes and failures. The recommendation for education is to develop avenues to provide continued, consistent education in the communities. Lastly, recommendations for governance structures are to develop a climate change adaptation strategy framework, and for higher governing bodies to push forward in support of community-based research.\nThis research highlighted many common issues for conducting research in the north. Overwhelmingly, research outputs, communication barriers, and education were consistent themes. As climate change continues to alter northern communities, planning for these changes will become crucial for long-term survival and community resiliency.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,018 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,003 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,003 | 0,006 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».